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基层考核“口袋效应”的形成、风险与规制——基于督考权扩张的分析
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作者 盛明科 陈廷栋 《江苏行政学院学报》 CSSCI 北大核心 2023年第2期81-89,共9页
作为一种容易被忽视的隐性现象,政府考核“口袋效应”在基层减负进程中应得到充分重视,考核“口袋效应”的负面风险在一定意义上构成基层减负实效反弹的关键性因素。基于督考权扩张的理论视角,围绕督考权“价值性和工具性”、“权利性... 作为一种容易被忽视的隐性现象,政府考核“口袋效应”在基层减负进程中应得到充分重视,考核“口袋效应”的负面风险在一定意义上构成基层减负实效反弹的关键性因素。基于督考权扩张的理论视角,围绕督考权“价值性和工具性”、“权利性和义务性”与“强制性和公利性”的解释框架,基层政府考核“口袋效应”的形成逻辑可归结为“条件—环境—推力—塑形”过程,其负面风险表现为引致基层加压式考核泛滥、背离督查考核的制度初衷、陷入基层减负矛盾的循环、侵蚀政府权力均衡的基础。为防范基层考核“口袋效应”演变为督查检查考核泛滥,需要从系统性规制考核“口袋效应”着手,实现基层督考价值取向的转型、理顺基层治理权责利结构关系、规范控制督考权的边界和限度、提升督考实践应用的转化能力、构建基层督考的申诉救济机制,从而扎实有效保障基层减负进展及推进基层治理现代化进程。 展开更多
关键词 基层治理 考核“口袋效应” 督查检查考核 督考权扩张
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Approximate Nonlinear Modeling of Aircraft Engine Surge Margin Based on Equilibrium Manifold Expansion 被引量:3
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作者 LIU Xiaofeng ZHAO Lei 《Chinese Journal of Aeronautics》 SCIE EI CSCD 2012年第5期663-674,共12页
Stable operation of aircraft engine compressions is constrained by rotating surge. In this paper, an approximate nonlinear surge margin model of aircraft engine compression system by using equilibrium manifold is pres... Stable operation of aircraft engine compressions is constrained by rotating surge. In this paper, an approximate nonlinear surge margin model of aircraft engine compression system by using equilibrium manifold is presented. Firstly, this paper gives an overview of the current state of modeling aerodynamic flow instabilities in engine compressors. Secondly, the expansion form of equilibrium manifold is introduced, and the choosing scheduling variable method is discussed. Then, this paper also gives the identification procedure of modeling the approximate nonlinear model. Finally, the modeling and simulations with high pressure (liP) compressor surge margin of the aircraft engine show that this real-time model has the same accuracy with the thermody- namic model, but has simpler structure and shorter computation time. 展开更多
关键词 aircraft engine surge margin system identification equilibrium manifold scheduling variable perpendicular expan-sion
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Mathematical modeling and optimal control problems in brain tumor targeted drug delivery strategies
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作者 Aziz Belmiloudi 《International Journal of Biomathematics》 2017年第4期235-296,共62页
In this paper, we present a mathematical model that describes tumor-normal cells inter- action dynamics focusing on role of drugs in treatment of brain tumors. The goal is to predict distribution and necessary quantit... In this paper, we present a mathematical model that describes tumor-normal cells inter- action dynamics focusing on role of drugs in treatment of brain tumors. The goal is to predict distribution and necessary quantity of drugs delivered in drug-therapy by using optimal control framework. The model describes interactions of tumor and normal cells using a system of reactions^diffusion equations involving the drug concentration, tumor cells and normal tissues. The control estimates simultaneously blood perfusion rate, reabsorption rate of drug and drug dosage administered, which affect the effects of brain tumor chemotherapy. First, we develop mathematical framework which mod- els the competition between tumor and normal cells under chemotherapy constraints. Then, existence, uniqueness and regularity of solution of state equations are proved as well as stability results. Afterwards, optimal control problems are formulated in order to minimize the drug delivery and tumor cell burden in different situations. We show existence and uniqueness of optimal solution, and we derive necessary conditions for optimality. Finally, to solve numerically optimal control and optimization problems, we propose and investigate an adjoint multiple-relaxation-time lattice Boltzmann method for a general nonlinear coupled anisotropic convection-diffusion system (which includes the developed model for brain tumor targeted drug delivery system). 展开更多
关键词 Optimal control coupled nonlinear reaztion-diffusion equations anisotropicbrain tumor growth diffusion tensor drug delivery chemotherapy real-time monitoringof distribution logistic growth pointwise controllers adjoint system population dyna-mics magnetic resonance imaging (MRI) convection-enhanced delivery (CED) adjointmultiple-relaxation-time lattice Boltzmann method multiscale Chapman-Enskog expan-sion optimization of therapies.
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